IDEAS home Printed from https://ideas.repec.org/a/wly/jnljam/v2014y2014i1n508793.html

Performance of Some Stochastic Restricted Ridge Estimator in Linear Regression Model

Author

Listed:
  • Jibo Wu
  • Chaolin Liu

Abstract

This paper considers several estimators for estimating the stochastic restricted ridge regression estimators. A simulation study has been conducted to compare the performance of the estimators. The result from the simulation study shows that stochastic restricted ridge regression estimators outperform mixed estimator. A numerical example has been also given to illustrate the performance of the estimators.

Suggested Citation

  • Jibo Wu & Chaolin Liu, 2014. "Performance of Some Stochastic Restricted Ridge Estimator in Linear Regression Model," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
  • Handle: RePEc:wly:jnljam:v:2014:y:2014:i:1:n:508793
    DOI: 10.1155/2014/508793
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2014/508793
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/508793?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hu Yang & Jianwen Xu, 2009. "An alternative stochastic restricted Liu estimator in linear regression," Statistical Papers, Springer, vol. 50(3), pages 639-647, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Akdeniz Duran, Esra & Härdle, Wolfgang Karl & Osipenko, Maria, 2012. "Difference based ridge and Liu type estimators in semiparametric regression models," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 164-175.
    2. Murat Genç, 2022. "A new double-regularized regression using Liu and lasso regularization," Computational Statistics, Springer, vol. 37(1), pages 159-227, March.
    3. Chaolin Liu & Hu Yang & Jibo Wu, 2013. "On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    4. Ning Li & Hu Yang, 2021. "Nonnegative estimation and variable selection under minimax concave penalty for sparse high-dimensional linear regression models," Statistical Papers, Springer, vol. 62(2), pages 661-680, April.
    5. Kristofer Månsson & B. M. Golam Kibria, 2021. "Estimating the Unrestricted and Restricted Liu Estimators for the Poisson Regression Model: Method and Application," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 311-326, August.
    6. Esra Akdeniz Duran & Fikri Akdeniz, 2012. "Efficiency of the modified jackknifed Liu-type estimator," Statistical Papers, Springer, vol. 53(2), pages 265-280, May.
    7. Issam Dawoud & Hussein Eledum, 2024. "New Stochastic Restricted Biased Regression Estimators," Mathematics, MDPI, vol. 13(1), pages 1-18, December.
    8. Autcha Araveeporn, 2024. "Modified Liu Parameters for Scaling Options of the Multiple Regression Model with Multicollinearity Problem," Mathematics, MDPI, vol. 12(19), pages 1-18, October.
    9. Feng Qian & Rong Chen & Ling Wang, 2024. "Generalized ridge shrinkage estimation in restricted linear model," Computational Statistics, Springer, vol. 39(3), pages 1403-1416, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jnljam:v:2014:y:2014:i:1:n:508793. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/4185 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.